Low-Rank Approximation of a Matrix: Novel Insights, New Progress, and Extensions.
Victor Y. PanLiang ZhaoPublished in: CSR (2016)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- subspace learning
- adjacency matrix
- iterative algorithms
- spectral clustering
- low rank matrices
- kernel matrix
- latent semantic indexing
- matrix completion
- reconstruction error
- nonnegative matrix factorization
- singular values
- convex optimization
- data dependent
- eigendecomposition
- filter bank
- linear combination
- face recognition
- machine learning
- principal component analysis